iPhone SE (3rd generation)
Geekbench AI Score
3254
Single Precision Score
5599
Half Precision Score
4525
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6186
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13426
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11416
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1915
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11118
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7572
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17252
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26451
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21990
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4505
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3426
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5780
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5541
95.7 IPS |
